Novel visual analytics approach for chromosome territory analysis

PeerJ

article

Magdalena A. Tkacz¹  Kornel Chromiński¹  Dominika Idziak-Helmcke²  Ewa Robaszkiewicz² 

[1] Faculty of Science and Technology, University of Silesia;Faculty of Natural Sciences, University of Silesia in Katowice

关键词: Chromosme territory;    Chromosome adjacency;    Visualisation;    3D analysis;    Computational science;    Visual analytics;    Nucleus;    Nucleus structure;    Rice;   

DOI  :  10.7717/peerj.12661

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

This document presents a new and improved, more intuitive version of a novel method for visually representing the location of objects relative to each other in 3D. The motivation and inspiration for developing this new method came from the necessity for objective chromosome territory (CT) adjacency analysis. The earlier version, Distance Profile Chart (DPC), used octants for 3D orientation. This approach did not provide the best 3D space coverage since space was divided into just eight cones and was not intuitive with regard to orientation in 3D. However, the version presented in this article, called DPC12, allows users to achieve better space coverage during conification since space is now divided into twelve cones. DPC12 is faster than DPC and allows for a more precise determination of the location of objects in 3D. In this article a short introduction about the conification idea is presented. Then we explain how DPC12 is designed and created. After that, we show DPC12 on an instructional dataset to make it easier to understand and demonstrate how they appear and how to read them. Finally, using DPC12 we present an example of an adjacency analysis (AA) using the model of Chromosome Territories (CTs) distribution in the rice nucleus.

【 授权许可】

CC BY